Author

Jakub Peleška

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Preprint Aug 2026

Incremental Evaluation and Training in Relational Deep Learning

Relational Deep Learning (RDL) models multi-tabular databases as temporal heterogeneous graphs to enable end-to-end representation learning. However, prevailing RDL evaluation practices rely on static, single-episode dataset snapshots, overlooking the continuous, time-evolving nature of real-world databases. Consequent...

Jakub Peleška, Gustav Šír · 0 citations

#machine learning Preprint Sep 2026

Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning

An open-source declarative language that streamlines RDL task formulation by abstracting away low-level SQL details, RTGL is introduced - an open-source declarative language that streamlines RDL task formulation by abstracting away low-level SQL details.

Oleksii Kolesnichenko, Jakub Peleška, Gustav Šír · 0 citations